Article(id=1223210589229535283, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221582, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1639065600000, receivedDateStr=2021-12-10, revisedDate=1646064000000, revisedDateStr=2022-03-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1769565730626, onlineDateStr=2026-01-28, pubDate=1687622400000, pubDateStr=2023-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769565730626, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769565730626, creator=13701087609, updateTime=1769565730626, updator=13701087609, issue=Issue{id=1223210584024400210, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='6', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769565729385, creator=13701087609, updateTime=1769593153259, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223325608164348105, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223325608164348106, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=162, endPage=165, ext={EN=ArticleExt(id=1223210589527330897, articleId=1223210589229535283, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Oil Mist Analysis of Thrust Bearing Oil Tank of Hydro-generator Unit Based on CFD, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

In hydro-generator units, the thrust bearing oil tank has the largest volume and the internal structure is relatively more complex. Therefore, there are many oil mists in the oil tank, and there are often internal and external oil spills, which have a great impact on the safe and stable operation of the unit. Based on the basic theory of computational fluid dynamics, the calculation model of thrust bearing in a power station was established, and the number of pressure oil blade was changed. The ICEM was used to mesh the three-dimensional model, and Fluent was used to calculate. The CFD-POST was used to analyze the oil mist related parameters of thrust bearing oil tank. The results show that in the design of hydro-generator units, the number of pressure oil blade can be appropriately increased, so as to increase the temperature difference between the upper and lower blades, reduce the oil temperature below the blade and increase the pressure, so as to better inhibit the occurrence of internal oil rejection and effectively prevent the diffusion of oil mist due to low pressure.

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在水轮发电机组中,推力轴承油槽的体积最大、内部结构相对更为复杂,故油槽内产生的油雾多,常会出现内甩油和外甩油现象,对机组的安全稳定运行产生很大影响。基于计算流体力学基本理论对某电站推力轴承建立计算模型,并改变压油叶栅数量,利用ICEM对三维模型划分网格,在Fluent中进行计算,利用CFD-POST分析推力轴承油槽油雾相关参数。结果表明,在水轮发电机组设计时,可适当增加压油叶栅数量,以增大叶栅上下温度差、降低叶栅下方油温、增大压力,从而更好地抑制内甩油现象,有效防止油雾因低压而扩散。

, correspAuthors=null, authorNote=null, correspAuthorsNote=
郑源(1964-),男,教授、博导,研究方向为流体机械及水利水电工程技术,E-mail:
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姚婵(2000-),女,硕士研究生,研究方向为水力机组故障诊断,E-mail:

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姚婵(2000-),女,硕士研究生,研究方向为水力机组故障诊断,E-mail:

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姚婵(2000-),女,硕士研究生,研究方向为水力机组故障诊断,E-mail:

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基于CFD的水轮发电机组推力轴承油槽油雾特性分析
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姚婵 , 郑源
水电能源科学 | 机电与控制工程 2023,41(6): 162-165
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水电能源科学 | 机电与控制工程 2023, 41(6): 162-165
基于CFD的水轮发电机组推力轴承油槽油雾特性分析
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姚婵 , 郑源
作者信息
  • 河海大学能源与电气学院,江苏 南京 211100
  • 姚婵(2000-),女,硕士研究生,研究方向为水力机组故障诊断,E-mail:

通讯作者:

郑源(1964-),男,教授、博导,研究方向为流体机械及水利水电工程技术,E-mail:
Oil Mist Analysis of Thrust Bearing Oil Tank of Hydro-generator Unit Based on CFD
Chan YAO , Yuan ZHENG
Affiliations
  • College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
出版时间: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221582
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在水轮发电机组中,推力轴承油槽的体积最大、内部结构相对更为复杂,故油槽内产生的油雾多,常会出现内甩油和外甩油现象,对机组的安全稳定运行产生很大影响。基于计算流体力学基本理论对某电站推力轴承建立计算模型,并改变压油叶栅数量,利用ICEM对三维模型划分网格,在Fluent中进行计算,利用CFD-POST分析推力轴承油槽油雾相关参数。结果表明,在水轮发电机组设计时,可适当增加压油叶栅数量,以增大叶栅上下温度差、降低叶栅下方油温、增大压力,从而更好地抑制内甩油现象,有效防止油雾因低压而扩散。

推力轴承  /  油槽  /  油雾  /  内甩油  /  CFD

In hydro-generator units, the thrust bearing oil tank has the largest volume and the internal structure is relatively more complex. Therefore, there are many oil mists in the oil tank, and there are often internal and external oil spills, which have a great impact on the safe and stable operation of the unit. Based on the basic theory of computational fluid dynamics, the calculation model of thrust bearing in a power station was established, and the number of pressure oil blade was changed. The ICEM was used to mesh the three-dimensional model, and Fluent was used to calculate. The CFD-POST was used to analyze the oil mist related parameters of thrust bearing oil tank. The results show that in the design of hydro-generator units, the number of pressure oil blade can be appropriately increased, so as to increase the temperature difference between the upper and lower blades, reduce the oil temperature below the blade and increase the pressure, so as to better inhibit the occurrence of internal oil rejection and effectively prevent the diffusion of oil mist due to low pressure.

thrust bearing  /  oil tank  /  oil mist  /  internal oil spill  /  CFD
姚婵, 郑源. 基于CFD的水轮发电机组推力轴承油槽油雾特性分析. 水电能源科学, 2023 , 41 (6) : 162 -165 . DOI: 10.20040/j.cnki.1000-7709.2023.20221582
Chan YAO, Yuan ZHENG. Oil Mist Analysis of Thrust Bearing Oil Tank of Hydro-generator Unit Based on CFD[J]. Water Resources and Power, 2023 , 41 (6) : 162 -165 . DOI: 10.20040/j.cnki.1000-7709.2023.20221582
  • 江西省教育厅科学技术研究项目(GJJ211945; GJJ201930)
2023年第41卷第6期
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doi: 10.20040/j.cnki.1000-7709.2023.20221582
  • 接收时间:2021-12-10
  • 首发时间:2026-01-28
  • 出版时间:2023-06-25
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  • 收稿日期:2021-12-10
  • 修回日期:2022-03-01
基金
江西省教育厅科学技术研究项目(GJJ211945; GJJ201930)
作者信息
    河海大学能源与电气学院,江苏 南京 211100

通讯作者:

郑源(1964-),男,教授、博导,研究方向为流体机械及水利水电工程技术,E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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